Course overview
This course is designed to suit students requiring a high degree of self-sufficiency in the collection, analysis and interpretation of data. The topics will include non-parametric statistical methods, linear models, logistic regression, Generalized Linear Models and Poisson regression, and survival analysis. A central feature of the course will be instruction in the use of statistical packages on computers, primarily Stata. Emphasis will be placed on data management and manipulation, practical application of statistical skills to real data sets and interpretation of results
Course learning outcomes
- Manage and manipulate data efficiently and effectively
- Apply a range of simple and complex statistical analysis techniques commonly used in Health Sciences appropriately
- Demonstrate statistical reasoning skills correctly and contextually
- Interpret results of statistical analyses in written summaries
- Use the statistical software package 'Stata' proficiently to conduct data manipulation and statistical analyses.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.